Growth Convergence in Economies: A 2D Solow-Growth-Model…

What is Growth Convergence?

Growth convergence refers to the process by which economies with initially different levels of capital per worker tend to approach similar growth rates over time. This concept is central in economic theory and has significant policy implications for understanding development patterns.

The 2D Solow-growth-model simulator provides a visual representation of this phenomenon, allowing us to observe how various parameters affect the convergence process.

Key Parameters and Their Impact

In the Solow model, several key parameters influence economic growth and convergence: the savings rate (the fraction of output saved for investment), the capital share (the proportion of total income that goes to capital owners), and depreciation-plus-population-growth rate (which reflects how quickly capital is lost due to wear and tear or population increase).

By adjusting these parameters in the simulator, one can observe how they shape both absolute convergence (where all economies converge to a common steady state) and conditional convergence (where economies with similar initial conditions tend to move towards each other over time).

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The Role of Savings Rate

A higher savings rate generally leads to faster capital accumulation, which can accelerate growth. However, if the savings rate is too high, it might lead to a decrease in consumption and potentially slower overall economic welfare.

In the simulator, increasing the savings rate can be seen as a way for an economy to invest more heavily in its future productive capacity, but at the cost of current consumption.

Conditional vs. Absolute Convergence

Absolute convergence occurs when all economies converge to the same steady state level of capital per worker, regardless of their initial conditions. This is a strong form of convergence and implies that differences in initial conditions do not matter over time.

Conditional convergence, on the other hand, suggests that economies with similar initial conditions tend to move towards each other but may not necessarily reach the same steady state level. This highlights the importance of initial conditions and policy choices.

Frequently asked questions

What does beta-convergence mean in this context?

Beta-convergence refers to the convergence of growth rates across economies, where countries with lower initial capital per worker tend to grow faster than those with higher levels, gradually reducing the gap between them.

How can conditional convergence be observed in real-world data?

Real-world data often show that countries with similar economic policies and institutions exhibit more rapid growth rate convergence compared to those with different initial conditions or policy choices.

Why is depreciation-plus-population-growth important for long-term economic planning?

Depreciation-plus-population-growth affects the sustainability of capital accumulation. If this rate is high, it can limit an economy's ability to maintain a growing capital stock over time, necessitating careful policy decisions.

Can all economies achieve absolute convergence?

The concept of absolute convergence assumes that all economies will eventually reach the same steady state level of capital per worker. However, in reality, this is unlikely due to differences in technology, institutions, and other factors that affect long-term growth potential.

Try it live

Everything above runs in your browser — open Growth Convergence Simulator (2D) and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Growth Convergence Simulator (2D) simulation

Growth Convergence in Economies: A 2D Solow-Growth-Model Analysis